Evidence map›Paper›PMID 33143745›Full record

ArticleBMC medicine2020

Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS.

Till F M Andlauer, Jenny Link, Dorothea Martin, Malin Ryner, Christina Hermanrud, Verena Grummel, Michael Auer, Harald Hegen, Lilian Aly, Christiane Gasperi and 12 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 7 institutions in 8 countries.

Till F M AndlauerDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany. till.andlauer@tum.de.
Jenny LinkDepartment of Clinical Neuroscience, Karolinska Institutet, Visionsgatan 18, 17176, Stockholm, Sweden.
Dorothea MartinDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
Malin RynerDepartment of Clinical Neuroscience, Karolinska Institutet, Visionsgatan 18, 17176, Stockholm, Sweden.
Christina HermanrudDepartment of Clinical Neuroscience, Karolinska Institutet, Visionsgatan 18, 17176, Stockholm, Sweden.
Verena GrummelDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
Michael AuerDepartment of Neurology, Medical University of Innsbruck, Anichstr 35, 6020, Innsbruck, Austria.
Harald HegenDepartment of Neurology, Medical University of Innsbruck, Anichstr 35, 6020, Innsbruck, Austria.
Lilian AlyDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
Christiane GasperiDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
Benjamin KnierDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
Bertram Müller-MyhsokMax Planck Institute of Psychiatry, Kraepelinstr 2-10, 80804, Munich, Germany.
Poul Erik Hyldgaard JensenDMSC, Department of Neurology, Rigshospitalet, University of Copenhagen, 2100, Copenhagen, Denmark.
Finn SellebjergDMSC, Department of Neurology, Rigshospitalet, University of Copenhagen, 2100, Copenhagen, Denmark.
Ingrid KockumDepartment of Clinical Neuroscience, Karolinska Institutet, Visionsgatan 18, 17176, Stockholm, Sweden.
Tomas OlssonDepartment of Clinical Neuroscience, Karolinska Institutet, Visionsgatan 18, 17176, Stockholm, Sweden.
Marc PallardyInflammation, Microbiome and Immunosurveillance, Université Paris-Saclay, INSERM, Faculté de Pharmacie, rue JB Clément, 92290, Châtenay-Malabry, France.
Sebastian SpindeldreherNovartis Institutes for Biomedical Research, Novartis Pharma AG, 4056, Basel, Switzerland.
Florian DeisenhammerDepartment of Neurology, Medical University of Innsbruck, Anichstr 35, 6020, Innsbruck, Austria.
Anna Fogdell-HahnDepartment of Clinical Neuroscience, Karolinska Institutet, Visionsgatan 18, 17176, Stockholm, Sweden.
Bernhard HemmerDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany. hemmer@tum.de.ORCID http://orcid.org/0000-0001-5985-6784
ABIRISK consortium
TUM Klinikum · DEKarolinska Institutet · SEInnsbruck Medical University · ATUniversity of Copenhagen · DKInserm · FRNovartis (Switzerland) · CHUniversity of Liverpool · GB

Funding

Bundesministerium für Bildung und Forschung 01ZX1614JBundesministerium für Bildung und Forschung 01ZZ1804ADeutsche Forschungsgemeinschaft GA 2913/1-1H2020 European Research Council 733161Innovative Medicines Initiative Joint Undertaking 115303
6 · The paper itself

Abstract

backgroundUpon treatment with biopharmaceuticals, the immune system may produce anti-drug antibodies (ADA) that inhibit the therapy. Up to 40% of multiple sclerosis patients treated with interferon β (IFNβ) develop ADA, for which a genetic predisposition exists. Here, we present a genome-wide association study on ADA and predict the occurrence of antibodies in multiple sclerosis patients treated with different interferon β preparations.

methodsWe analyzed a large sample of 2757 genotyped and imputed patients from two cohorts (Sweden and Germany), split between a discovery and a replication dataset. Binding ADA (bADA) levels were measured by capture-ELISA, neutralizing ADA (nADA) titers using a bioassay. Genome-wide association analyses were conducted stratified by cohort and treatment preparation, followed by fixed-effects meta-analysis.

resultsBinding ADA levels and nADA titers were correlated and showed a significant heritability (47% and 50%, respectively). The risk factors differed strongly by treatment preparation: The top-associated and replicated variants for nADA presence were the HLA-associated variants rs77278603 in IFNβ-1a s.c.- (odds ratio (OR) = 3.55 (95% confidence interval = 2.81-4.48), p = 2.1 × 10

conclusionsWe identified several HLA-associated genetic risk factors for ADA against interferon β, which were specific for treatment preparations and population backgrounds. Genetic prediction models could robustly identify patients at risk for developing ADA and might be used for personalized therapy recommendations and stratified ADA screening in clinical practice. These analyses serve as a roadmap for genetic characterizations of ADA against other biopharmaceutical compounds.

Indexed as

AdultFemaleGenome-Wide Association StudyHumansInterferon-betaMaleMiddle AgedRetrospective StudiesRisk FactorsInterferon-betaAnti-drug antibodiesGeneticsGenome-wide association studyHuman leukocyte antigen (HLA) systemInterferon betaMultiple sclerosisPrediction

Identifiers

PMID33143745
PMCPMC7641861
OpenAlexW3096806131

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.